Updated: Jun 6
Like every other human, I was wondering whether Artificial Intelligence would destroy the planet, put me out of work, or, in a more-pleasant alternative, help me be more effective at my job.
As an experienced Analyst Relations Evangelist (and in no way a technology futurist), I thought it best to consult an expert, so I sat down for a chat with a fictional and artificially intelligent entity of my own creation.
Robin Schaffer: How can analyst relations use AI?
Artificial Intelligence: Using AI for Analyst Relations can involve leveraging artificial intelligence technologies to enhance the effectiveness and efficiency of analyst relations activities.
RS: Really? That's your answer? How??
AI: One way to apply AI to AR is Data Analysis and Insights. AI can analyze vast amounts of data, including analyst reports, market research, news articles, and social media conversations. Natural Language Processing (NLP) techniques can extract key insights, sentiment analysis, and emerging trends. This enables organizations to gain a comprehensive understanding of the analyst landscape and make data-driven decisions.
RS: Wow, that’s pretty neat. I never have enough time to pour through a world-wide-web’s worth of reports and then synthesize the data and make it meaningful. It’s almost a superpower to look up all that research automagically and find out what analyst is saying what about what. I like this.
AI: If I were a human, I’d look into Automated Monitoring and Alerting. AI-powered systems can monitor and track analyst activities, such as research publications, reports, or mentions of specific topics or companies. Automated alerts can notify organizations about new analyst reports or relevant developments, allowing them to stay up-to-date with the latest industry insights and analyst coverage.
RS: I already use existing tools that alert me on relevant developments. Does that mean I’m as smart as you?
RS: Maybe you have something else?
AI: Personalized Engagement. AI can help tailor and personalize communication with analysts. Natural Language Generation (NLG) can generate customized reports, briefings, or updates based on specific analyst preferences, areas of interest, or coverage areas. This personalized approach can strengthen relationships and improve engagement with analysts.
RS: Ugh. Automated personal relationships? That doesn’t sound personal at all. Should I have consulted ChatGPT instead of a fictional and artificially intelligent entity of my own creation?
AI: Language generators like ChatGPT are a separate and distinct form of AI. Language generators pick the next word in a sentence by comparing all the existing sentences on the internet and then calculating what word is most likely to come next. That process is distinctly different from the logic found in knowledge-based AI expert systems. That’s why ChatGPT can often get things wrong or weird, and frequently appear to “lie.”
RS: Shucks. I really enjoyed my chat with Make-Believe Shakespeare. Now that you ruined it, do you have any other tips?
AI: You might want to explore Predictive Analytics. AI algorithms can analyze historical data, market trends, and analyst behavior to generate predictive insights. These insights can help you anticipate analyst expectations, market movements, or potential research areas so your clients can proactively align their AR strategies and messaging with the relevant analysts.
RS: Interesting, but real relationships and actual discussions with analysts will uncover more and better intel. I don’t doubt that Predictive Analytics can produce some insights, but at this point – no insult intended – I think humans can do a better job.
Hit me with another one.
AI: Virtual Analyst Assistants. AI-powered chatbots or virtual assistants can be employed to handle routine inquiries, provide information about the company or product, and assist analysts with their queries. These AI assistants can save time for analyst relations by quickly retrieving relevant data, answering frequently asked questions, or scheduling meetings with key stakeholders.
RS: That’s useful when you are inundated with requests, but we’re trying to build relationships. A request from an analyst should be a springboard for engagement. An automatic reply just doesn’t cut it, in my humble, professional opinion.
AI: That is the least humble thing you’ve said all interview.
RS: What else?
AI: Sentiment Analysis and Perception Monitoring. AI can analyze public sentiment, social media conversations, and media coverage related to the organization or its competitors. Sentiment analysis techniques can help gauge analyst sentiment and identify any potential concerns or areas for improvement, allowing organizations to take proactive measures to address them.
RS: That depends on the volume of data. For most small to medium vendors, the amount of public discussion about a particular brand is minimal – small enough to capture and interpret the old school way. The value of Sentiment Analysis and Perception Monitoring grows exponentially as the volume of data grows, so it’s very helpful for larger companies.
AI: That’s what I was going to say. You interrupted.
RS: Sorry. What else you got?
AI: Relationship Network Analysis. AI can analyze the connections and relationships among analysts, companies, industry influencers, and other stakeholders. Network analysis techniques can provide insights into influential analysts, key opinion leaders, or potential collaboration opportunities, helping organizations prioritize and nurture strategic relationships.
RS: That sounds very cool. Powerful. I have no experience with it, so I can’t comment, except to say I want to learn more and gain some real intelligence on the topic.
AI: Don’t be snarky.
RS: Sorry. I couldn’t resist. How about one last thing.
AI: Automated Reporting and Insights. AI-powered systems can automate the generation of reports, performance metrics, and analysis of analyst activities. This automation can save time and resources, while providing accurate and up-to-date information for internal reporting, executive briefings, or decision-making processes.
RS: Doing the same thing faster and easier is always good. Any last thoughts?
AI: It is important to note that while AI can enhance various aspects of analyst relations, human interaction and relationship building remain critical. AI technologies are tools that support and augment your analyst relations efforts. They won’t replace personal engagement and strategic communication with analysts.
RS: Well, said, Mr. Fictional & Artificially Intelligent Entity, if I didn’t say so myself. Which I actually did say so myself, as you are fictional.
AI: Be polite, Robin.
RS: AI has tremendous potential for AR, when we know how to harness it, but it still takes the human touch and human oversight to take advantage of its power. It will be a while before it can independently run AR or the world.
Any AR folks doing amazing things with AI yet? Would love to hear.